{"id":"https://openalex.org/W4404330386","doi":"https://doi.org/10.3390/rs16224222","title":"High-Quality Damaged Building Instance Segmentation Based on Improved Mask Transfiner Using Post-Earthquake UAS Imagery: A Case Study of the Luding Ms 6.8 Earthquake in China","display_name":"High-Quality Damaged Building Instance Segmentation Based on Improved Mask Transfiner Using Post-Earthquake UAS Imagery: A Case Study of the Luding Ms 6.8 Earthquake in China","publication_year":2024,"publication_date":"2024-11-13","ids":{"openalex":"https://openalex.org/W4404330386","doi":"https://doi.org/10.3390/rs16224222"},"language":"en","primary_location":{"id":"doi:10.3390/rs16224222","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16224222","pdf_url":"https://www.mdpi.com/2072-4292/16/22/4222/pdf?version=1731480967","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/16/22/4222/pdf?version=1731480967","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114628251","display_name":"Kangsan Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I90149893","display_name":"China Earthquake Administration","ror":"https://ror.org/045sza929","country_code":"CN","type":"facility","lineage":["https://openalex.org/I90149893"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kangsan Yu","raw_affiliation_strings":["Institute of Earthquake Forecasting, China Earthquake Administration, Beijing 100036, China"],"affiliations":[{"raw_affiliation_string":"Institute of Earthquake Forecasting, China Earthquake Administration, Beijing 100036, China","institution_ids":["https://openalex.org/I90149893"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100342194","display_name":"Shumin Wang","orcid":"https://orcid.org/0000-0002-8859-0716"},"institutions":[{"id":"https://openalex.org/I90149893","display_name":"China Earthquake Administration","ror":"https://ror.org/045sza929","country_code":"CN","type":"facility","lineage":["https://openalex.org/I90149893"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shumin Wang","raw_affiliation_strings":["Institute of Earthquake Forecasting, China Earthquake Administration, Beijing 100036, China"],"affiliations":[{"raw_affiliation_string":"Institute of Earthquake Forecasting, China Earthquake Administration, Beijing 100036, China","institution_ids":["https://openalex.org/I90149893"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100650014","display_name":"Yitong Wang","orcid":"https://orcid.org/0009-0003-4088-3047"},"institutions":[{"id":"https://openalex.org/I90149893","display_name":"China Earthquake Administration","ror":"https://ror.org/045sza929","country_code":"CN","type":"facility","lineage":["https://openalex.org/I90149893"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yitong Wang","raw_affiliation_strings":["Institute of Earthquake Forecasting, China Earthquake Administration, Beijing 100036, China"],"affiliations":[{"raw_affiliation_string":"Institute of Earthquake Forecasting, China Earthquake Administration, Beijing 100036, China","institution_ids":["https://openalex.org/I90149893"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5104223755","display_name":"Ziying Gu","orcid":"https://orcid.org/0009-0002-4893-5035"},"institutions":[{"id":"https://openalex.org/I90149893","display_name":"China Earthquake Administration","ror":"https://ror.org/045sza929","country_code":"CN","type":"facility","lineage":["https://openalex.org/I90149893"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziying Gu","raw_affiliation_strings":["Institute of Earthquake Forecasting, China Earthquake Administration, Beijing 100036, China"],"affiliations":[{"raw_affiliation_string":"Institute of Earthquake Forecasting, China Earthquake Administration, Beijing 100036, China","institution_ids":["https://openalex.org/I90149893"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100342194"],"corresponding_institution_ids":["https://openalex.org/I90149893"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.9439,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.79673711,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"16","issue":"22","first_page":"4222","last_page":"4222"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9900000095367432,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9805999994277954,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.43000009655952454}],"concepts":[{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.43000009655952454}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/rs16224222","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16224222","pdf_url":"https://www.mdpi.com/2072-4292/16/22/4222/pdf?version=1731480967","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:c32ed9043f46465399a1f2ab32abc2e5","is_oa":true,"landing_page_url":"https://doaj.org/article/c32ed9043f46465399a1f2ab32abc2e5","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 16, Iss 22, p 4222 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/rs16224222","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16224222","pdf_url":"https://www.mdpi.com/2072-4292/16/22/4222/pdf?version=1731480967","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6800000071525574,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[{"id":"https://openalex.org/G1065908743","display_name":null,"funder_award_id":"42271090","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1323129595","display_name":null,"funder_award_id":"CEAIEF20240405","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5196234776","display_name":null,"funder_award_id":"CEAIEF2024030106","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G602905878","display_name":null,"funder_award_id":"CEAIEF20230202","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7684548276","display_name":null,"funder_award_id":"CEAIEF20240508","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4404330386.pdf"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1861492603","https://openalex.org/W2045899806","https://openalex.org/W2112796928","https://openalex.org/W2194775991","https://openalex.org/W2236570928","https://openalex.org/W2295107390","https://openalex.org/W2565639579","https://openalex.org/W2601564443","https://openalex.org/W2962858109","https://openalex.org/W2963150697","https://openalex.org/W2963857746","https://openalex.org/W2966926453","https://openalex.org/W2987144017","https://openalex.org/W2987361643","https://openalex.org/W2993182889","https://openalex.org/W3034826836","https://openalex.org/W3034971973","https://openalex.org/W3049381932","https://openalex.org/W3082867511","https://openalex.org/W3096609285","https://openalex.org/W3113410735","https://openalex.org/W3115470671","https://openalex.org/W3120080276","https://openalex.org/W3174982878","https://openalex.org/W3193494519","https://openalex.org/W3195354427","https://openalex.org/W4206754102","https://openalex.org/W4212773528","https://openalex.org/W4214613769","https://openalex.org/W4290755484","https://openalex.org/W4292651731","https://openalex.org/W4311088167","https://openalex.org/W4311518298","https://openalex.org/W4312247113","https://openalex.org/W4312940821","https://openalex.org/W4366608319","https://openalex.org/W4366722712","https://openalex.org/W4386066020","https://openalex.org/W4389289141","https://openalex.org/W4390873228","https://openalex.org/W4391142984","https://openalex.org/W4392399545","https://openalex.org/W4395096427","https://openalex.org/W4400352744","https://openalex.org/W6796402304","https://openalex.org/W6862121259","https://openalex.org/W6864156863"],"related_works":["https://openalex.org/W2324615561","https://openalex.org/W2086120259","https://openalex.org/W2245170124","https://openalex.org/W2076393078","https://openalex.org/W3186982001","https://openalex.org/W1984402782","https://openalex.org/W2137941439","https://openalex.org/W2004200960","https://openalex.org/W1999891779","https://openalex.org/W2029513011"],"abstract_inverted_index":{"Unmanned":[0],"aerial":[1],"systems":[2],"(UASs)":[3],"are":[4,30,80,216],"increasingly":[5],"playing":[6],"a":[7,41,94,152,190,308],"crucial":[8],"role":[9],"in":[10,68,75,116,197,236,319],"earthquake":[11,188,297],"emergency":[12],"response":[13],"and":[14,24,170,214,218,234,238,269,299,321,327],"disaster":[15,334],"assessment":[16],"due":[17],"to":[18,62,120,123,139,159,294],"their":[19],"ease":[20],"of":[21,35,126,146,148,166,173,195,201,211,244,261,277,285,311],"operation,":[22],"mobility,":[23],"low":[25],"cost.":[26],"However,":[27],"post-earthquake":[28,101],"scenes":[29,284],"complex,":[31],"with":[32,189,258],"many":[33],"forms":[34],"damaged":[36,66,323],"buildings.":[37],"UAS":[38,69,102,181],"imagery":[39,103],"has":[40,156,316],"high":[42,317],"spatial":[43],"resolution,":[44],"but":[45],"the":[46,106,117,144,164,171,185,198,207,229,242,251,270,286,292,295,302],"resolution":[47],"is":[48],"inconsistent":[49],"between":[50],"different":[51,72,283],"flight":[52],"missions.":[53],"These":[54],"factors":[55],"make":[56],"it":[57,130],"challenging":[58],"for":[59,82,100,279,333],"existing":[60],"methods":[61],"accurately":[63],"identify":[64],"individual":[65],"buildings":[67,125,324],"images":[70,182,281],"from":[71,184,282],"scenes,":[73],"resulting":[74],"coarse":[76],"segmentation":[77,98,254],"masks":[78],"that":[79,206,301],"insufficient":[81],"practical":[83],"application":[84],"needs.":[85],"To":[86],"address":[87],"these":[88],"issues,":[89],"this":[90],"paper":[91],"proposed":[92],"DB-Transfiner,":[93,212],"building":[95],"damage":[96],"instance":[97,253],"method":[99,111,315],"based":[104],"on":[105,179],"Mask":[107,256],"Transfiner":[108],"network.":[109],"This":[110,314],"primarily":[112],"employed":[113],"deformable":[114],"convolution":[115],"backbone":[118],"network":[119,137],"enhance":[121],"adaptability":[122],"collapsed":[124],"arbitrary":[127],"shapes.":[128],"Additionally,":[129],"used":[131,158],"an":[132,259,273],"enhanced":[133],"bidirectional":[134],"feature":[135,168],"pyramid":[136],"(BiFPN)":[138],"integrate":[140],"multi-scale":[141],"features,":[142],"improving":[143],"representation":[145],"targets":[147],"various":[149],"sizes.":[150],"Furthermore,":[151],"lightweight":[153],"Transformer":[154],"encoder":[155],"been":[157],"process":[160],"edge":[161],"pixels,":[162],"enhancing":[163],"efficiency":[165],"global":[167],"extraction":[169],"refinement":[172],"target":[174],"edges.":[175],"We":[176,289],"conducted":[177,266],"experiments":[178],"post-disaster":[180],"collected":[183],"2022":[186],"Luding":[187],"surface":[191],"wave":[192],"magnitude":[193],"(Ms)":[194],"6.8":[196],"Sichuan":[199],"Province":[200],"China.":[202],"The":[203],"results":[204],"demonstrated":[205],"average":[208,274],"precisions":[209],"(AP)":[210],"APbox":[213,237],"APseg,":[215,239],"56.42%":[217],"54.85%,":[219],"respectively,":[220],"outperforming":[221],"all":[222],"other":[223],"comparative":[224],"methods.":[225],"Our":[226],"model":[227,231,246,255,271,293,303],"improved":[228],"original":[230],"by":[232],"5.00%":[233],"4.07%":[235],"respectively.":[240],"Importantly,":[241],"APseg":[243],"our":[245],"was":[247],"significantly":[248],"higher":[249],"than":[250],"state-of-the-art":[252],"R-CNN,":[257],"increase":[260],"9.07%.":[262],"In":[263],"addition,":[264],"we":[265],"applicability":[267],"testing,":[268],"achieved":[272],"correctness":[275],"rate":[276],"84.28%":[278],"identifying":[280,320],"same":[287],"earthquake.":[288],"also":[290],"applied":[291],"Yangbi":[296],"scene":[298],"found":[300],"maintained":[304],"good":[305],"performance,":[306],"demonstrating":[307],"certain":[309],"level":[310],"generalization":[312],"capability.":[313],"accuracy":[318],"assessing":[322],"after":[325],"earthquakes":[326],"can":[328],"provide":[329],"critical":[330],"data":[331],"support":[332],"loss":[335],"assessment.":[336]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}